Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage

Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage

Developing photovoltaic (PV) and wind power is one of the most efficient approaches to reduce carbon emissions. Accumulating the PV and wind energy resources at different geographical locations can minimize total power output variance as injected into the power systems. To some extent, a low degree...

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Bibliographic Details
Main Authors: Xiaotian Xia, Liye Xiao, Hua Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Energy Research
Subjects:
correlation analysis
deep neural networks
probabilistic power flow
renewable energy
energy storage
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1365885/full

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